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Vetted ETL Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in LLMs, RAG, and enterprise AI
Senior Full-Stack Engineer specializing in backend systems and cloud-native microservices
Mid-level Full-Stack Engineer specializing in Python microservices and cloud automation
Senior Data/GenAI Engineer specializing in cloud-native ML, RAG, and real-time data platforms
Mid-Level Python Developer specializing in Django, data pipelines, and automation
Entry-Level Software Engineer specializing in backend systems and cloud messaging
Mid-Level Software Engineer specializing in cloud-native backend and distributed systems
Mid-level Business Analyst specializing in data analytics and enterprise reporting
Mid AI/ML Engineer specializing in LLM systems and inference optimization
Senior Software Engineer specializing in backend systems and FinTech APIs
Peeyush Dyavarashetty
Intern AI/ML Engineer specializing in GenAI, LLMs, and agentic RAG systems
“AI/LLM practitioner who built a GPT-2-like language model from scratch at the University of Maryland using PyTorch and multi-GPU distributed training, with experiment tracking in Weights & Biases. As an AI Operations intern at ScaleUp360, delivered multiple production-style AI agent automations (Gmail classification and Fireflies-to-Claude workflows that extract and assign CEO tasks) and set up measurable evaluation using test cases and classification metrics.”
Nick Stefanelli
Executive IT Leader specializing in enterprise modernization, ERP/PLM, and cybersecurity
“Execution-focused technology leader and consultant who architects and implements core business systems (ERP/GL, Azure/M365, Google Workspace) and infrastructure to help organizations scale. Has supported growth from 0 to 55M and operated in a 250M+ environment, including standardizing hardware and deploying Intune/Jamf MDM to enable 10+ new retail store openings with consistent POS infrastructure.”
Sanketh Reddy
Senior Data Engineer specializing in cloud data platforms and large-scale ETL
“Data engineer focused on large-scale ETL/ELT pipelines across cloud stacks (GCP and AWS), including Spark-based transformations and orchestration with Airflow. Has experience loading up to ~2TB per BigQuery target table and designing atomic loads to multiple downstream systems (Elasticsearch + Kafka), with Kubernetes deployment and Jenkins CI/CD.”